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Fevrier Valdez, Oscar Castillo and Patricia Melin
In recent years, new metaheuristic algorithms have been developed taking as reference the inspiration on biological and natural phenomena. This nature-inspired approach for algorithm development has been widely used by many researchers in solving optimiz...
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Marylu L. Lagunes, Oscar Castillo, Fevrier Valdez and Jose Soria
This article describes an optimization methodology based on a model of competitiveness between different metaheuristic methods. The main contribution is a strategy to dynamically find the algorithm that obtains the best result based on the competitivenes...
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Oscar Castillo, Patricia Melin, Fevrier Valdez, Jose Soria, Emanuel Ontiveros-Robles, Cinthia Peraza and Patricia Ochoa
Nowadays, dynamic parameter adaptation has been shown to provide a significant improvement in several metaheuristic optimization methods, and one of the main ways to realize this dynamic adaptation is the implementation of Fuzzy Inference Systems. The ma...
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Oscar Castillo, Fevrier Valdez, José Soria, Leticia Amador-Angulo, Patricia Ochoa and Cinthia Peraza
This paper presents a comparison among the bee colony optimization (BCO), differential evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type-1 fuzzy logic system (T1FLS) for the dynamic modification of the main param...
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Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Oscar Castillo and Juan R. Castro
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